The cross-evaluation of machine learning-based network intrusion detection systems

G Apruzzese, L Pajola, M Conti - IEEE Transactions on Network …, 2022 - ieeexplore.ieee.org
Enhancing Network Intrusion Detection Systems (NIDS) with supervised Machine Learning
(ML) is tough. ML-NIDS must be trained and evaluated, operations requiring data where …
被引用次数：69 相关文章

The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems

G Apruzzese, L Pajola, M Conti - arXiv preprint arXiv:2203.04686, 2022 - arxiv.org
Enhancing Network Intrusion Detection Systems (NIDS) with supervised Machine Learning
(ML) is tough. ML-NIDS must be trained and evaluated, operations requiring data where …

[引用][C] The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems

G Apruzzese, L Pajola, M Conti - IEEE TRANSACTIONS ON …, 2022 - research.unipd.it
The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems
IRIS IRIS Home Sfoglia Macrotipologie & tipologie Autore Titolo Riviste Serie IT Italiano …

The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems

G Apruzzese, L Pajola, M Conti - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Abstract Enhancing Network Intrusion Detection Systems (NIDS) with supervised Machine
Learning (ML) is tough. ML-NIDS must be trained and evaluated, operations requiring data …

The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems

G Apruzzese, L Pajola, M Conti - IEEE Transactions on Network …, 2022 - research.tudelft.nl
Abstract Enhancing Network Intrusion Detection Systems (NIDS) with supervised Machine
Learning (ML) is tough. ML-NIDS must be trained and evaluated, operations requiring data …